CRAN
AdaptGauss 1.5
Gaussian Mixture Models (GMM)
Released Jan 31, 2019 by Florian Lerch
This package cannot yet be used with Renjin it depends on other packages which are not available: ggplot2 3.1.0 and shiny 1.2.0
An older version of this package is
more compatible with Renjin.
Dependencies
shiny 1.2.0 ggplot2 3.1.0 pracma 2.2.2
Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015)